What is Data Analytics?

We are completely inundated with data. If you look through your browser tabs right now (November 2020) you may see COVID case counts, voting trends, your FitBit data, music play data, Tweets, and maybe even raw data you generated for a research project. Have you ever wanted to take control of this data? Well, then Data Analytics is the class for you!

Data Analytics is a new course! All majors are welcome.

What will we learn?

In Data Analytics we will learn how to:

  • obtain raw structured and unstructured data from various sources
  • clean, transform, merge, explore, and analyze data sets
  • interpret and effectively communicate data summaries and stories
  • share data and communications using modern tools (such as this HTML webpage)
  • and much more!

all while becoming proficient in the R programming language.

What does that look like?

We will learn to take raw data:

## [1] "28.2,28.2,28.2,28.2,28.2,28.2,28.1,28.1,28.1,28.1,28.1,28.1,28.1,28.1,28.1,28.1,28.1,28,28,28,28,28,28,28,28,27.9,27.9,27.9,27.9,27.9,27.9,27.9,27.9,27.9,27.9,27.9,27.8,27.8,27.8,27.8,27.8,27.8,27.8,27.8,27.8,27.8,27.7,27.7,27.7,27.7,27.7,27.7,27.7,27.7,27.7,27.6,27.6,27.6,27.6,27.6,27.6,27.6,27.6,27.6,27.6,27.5,27.5,27.5,27.5,27.5,27.5,27.6,27.6,27.7,27.8,27.8,27.9,27.9,28,28.1,28.1,28.2,28.3,28.3,28.4,28.5,28.5,28.6"
## [2] "35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4,35.4"

and tidy the data to turn it into something humans can interpret:

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and something humans can understand (this plot is interactive! click around for more data) in a few lines of code 1:

Requisites

Requisites are listed as "Complete MATH 1118 or (MATH 1117 and MATH 0118) - Must be completed prior to taking this course."

However, since the R component of these courses are relatively new, students can request a waiver this year if they took stats without R and complete an online R tutorial course before the Spring semester.

Will this cost me extra money?

As this will be a virtual class in Spring 2021, students need access to a computer. We will be using the free open source statistical computing software, and the free open source R for Data Science textbook, along with other free resources.

Contact

Email Dr. Vincent Cannataro cannatarov@emmanuel.edu with any questions.

  1. The code to build this document and the analyses therein can be found here: https://github.com/vcannataro/IDDS_2201_public/blob/master/flyer/Cannataro_IDDS_2201_flyer.Rmd↩︎